code: def decode(self, vectors):
      # It these are logits output by the neural network, we need to treshold them to binary vectors
      vectors = np.where(vectors > 0, 1, 0)
      words_tuples = self._binarizer.inverse_transform(vectors)
      return [list(w) for w in words_tuples]
  
file_path: lightwood/lightwood/encoder/categorical/multihot.py
imports: import torch
  import numpy
  from lightwood.encoder import BaseEncoder
  from sklearn.preprocessing import MultiLabelBinarizer
label_desc: Use image node_id 5 for calling the MultiHotEncoder obj's underlying member method code with example usage: obj.decode(vectors) and returns: unknown